October 20 – 23, 2024
Seattle, Washington | Seattle Convention Center | Bronze Sponsor | Booth 219
Technology Showcase | Presented by Filipe Brandão and Robert Fourer
Python’s vast ecosystem excels in data pre-processing and visualization, but its general-purpose design can limit its effectiveness for complex optimization problems. AMPL, a declarative language, complements Python by simplifying problem expression and enhancing integration.
This presentation explores how AMPL and Python together streamline optimization: from installing AMPL as a Python package, to efficient data handling, to cloud deployment, and leveraging generative AI for rapid application development.
April 14 – 16, 2024
Orlando, Florida | Hyatt Regency Grand Cypress Resort | Gold Sponsor
Technology Showcase | Technology Workshop | Presented by Filipe Brandão and Robert Fourer
Filipe and Bob demonstrated how to build prescriptive analytics applications quickly, from prototyping to deployment, with Pandas, Colab, Streamlit, and amplpy – and feature tips on leveraging AI for rapid model development.
October 15 – 18, 2023
Phoenix, Arizona | Phoenix Convention Center | Gold Sponsor
Technology Showcase | Technology Workshop | Presented by Filipe Brandão and Robert Fourer
Filipe and Bob demonstrated how to build prescriptive analytics applications quickly, from prototyping to deployment, with Pandas, Colab, Streamlit, and amplpy – and feature tips on leveraging AI for rapid model development.
October 11 – 12, 2023
July 10 – 14, 2023
Santiago, Chile | Robert Fourer & Marcos Dominguez Velad
Workshop Part 1: Advances in Model-Based Optimization with AMPL
Workshop Part 2: AMPL Everywhere: Build Optimization Applications Quickly and Reliably, from Prototyping to Deployment
April 16 – 18, 2023
Aurora, Colorado | Gaylord Rockies Resort | Platinum Sponsor
Technology Showcase | Technology Workshop | Presented by Filipe Brandão and Robert Fourer
Filipe and Bob demonstrated how to build prescriptive analytics applications quickly, from prototyping to deployment, with Pandas, Colab, Streamlit, and amplpy – and feature tips on leveraging AI for rapid model development.
Workshop: Prescriptive Analytics with AMPL: Building Optimization Applications Quickly and Reliably, from Prototyping to Deployment
Tutorial: Python & AMPL: Build Prescriptive Analytics Applications Quickly with Pandas, Colab, Streamlit, and amplpy
October 16 – 19, 2022
Indianapolis, IN | Indiana Convention Center | Diamond Sponsor
Technology Showcase | Technology Workshop | Presented by Filipe Brandão and Robert Fourer
Workshop: Adding Optimization to your Applications, from Prototyping to Deployment: How AMPL is Making it Faster and Easier
Tutorial: Advances in Model-Based Optimization with AMPL
July 25 – 28, 2022
Bethlehem, Pennsylvania
Recent Advances in Commercial Solvers | David Gay
Progress Report on functions in AMPL
New Directions in Modeling Software | Robert Fourer, Gleb Belov, Filipe Brandão
Advances in Model-Based Optimization with AMPL
July 3 – 6, 2022
Espoo, Finland
Advances in Model-Based Optimization with AMPL | Robert Fourer, Gleb Belov, Filipe Brandão
April 3 – 5, 2022
Houston, Texas | Platinum Sponsor
Technology Showcase | Technology Workshop | Presented by Filipe Brandão and Robert Fourer
Workshop: Adding Optimization to your Applications, Quickly and Reliably | Part 1: A Guide to Model-Based Optimization | Part 2: From Prototyping to Integration with AMPL
Tutorial: Optimization in Your Toolchain: How AMPL is Making it Faster and Easier
August 31 – September 3, 2021
August 23 – 27, 2021
AMPL Solver Interfaces with Callbacks | Filipe Brandão, Robert Fourer
How Linear Programming Became Practical | Robert Fourer
July 11 – 14, 2021
New Connections to the AMPL Modeling Language: Spreadsheets and Callbacks | Robert Fourer
Progress on Functions in AMPL | David M. Gay
November 7-13, 2020
Online | Silver Sponsor
Modeling, not Programming: Model-Based Optimization in AMPL | Robert Fourer
AMPL-Solver Interfaces with Callbacks | Filipe Brandão
January 6-9, 2020
Muscat, Oman
Functions in AMPL | David M. Gay